How to Choose a Suitable Integrated DevOps Platform
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How to Choose a Suitable Integrated DevOps Platform

By CIOReview | Tuesday, March 16, 2021

A business must have a set of criteria to aid in selecting an appropriate unified DevOps platform to provide a consistent user experience.

Fremont, CA: The digital transformation path delivered numerous new systems to IT and data teams, both on-premises and in the cloud. This makes getting a holistic, real-time view of all apps, platforms, and infrastructure more challenging. End-to-end monitoring can be made more agile and effective with an integrated DevOps platform, allowing enterprise teams to achieve their business goals more easily. A single DevOps platform that captures and consolidates useful operational data, does contextual analysis, and applies intelligence in real time to deliver comprehensive insights across many settings is needed.

Here’s how an Organization can choose an integrated DevOps Platform:

Role-based access to properly manage cloud spending

A DevOps platform that grants developer, engineering, and operations teams role-based access can drastically reduce cloud costs. It's critical to keep track of platform and infrastructure spending across all public cloud providers to ensure that budgets aren't exceeded. Other appealing features include the ability to forecast budgets for the next quarters and monitor cloud expenditure trends for six to twelve months.

Security scoring in real time

To minimize incidents that have a negative impact on the customer experience, it's vital to keep track of the security health of all enterprise environments. In development and staging environments, it's common to leave security monitoring thresholds relaxed (and focus more on production and testing environments). The best DevOps platform can assist in publishing real-time security scores for all environments, bringing any non-compliance to the attention of developers and IT management right away.

SLA Compliance

In today's digital environment, staying ahead of the curve means responding fast to events and addressing them as they occur. To do so, teams must swiftly obtain contextual insights from event analytics. Despite the fact that most monitoring technologies give standard metrics, businesses frequently need to anticipate the number of events for the following weeks. This can assist teams in roster planning and resource allocation. Although cloud platforms feature native artificial intelligence (AI) capabilities that may use operational data to make such predictions, this adds to the enterprise's costs. This problem can be solved with a single DevOps platform that connects with public cloud environments and cloud-native data models.